Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/edge-of-realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/edge-of-realism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/edge-of-realism", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.safetensors from stablediffusionapi/edge-of-realism: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/stablediffusionapi/edge-of-realism/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://stablediffusionapi/edge-of-realism/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/stablediffusionapi/edge-of-realism/resolve/main/unet/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- 7511ddc07a1416cee0a08eb8204f63853daf95704c88b004def0b4b934a83410
- Size of remote file:
- 3.44 GB
- SHA256:
- 7c260665f3753e84438129fb52539988326f11ede8060a2b9ddded39bab3a67d
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